Available
Project number:
2025_96
Start date:
October 2025
Project themes:
Main supervisor:
Clinical Senior Lecturer
Co-supervisor:
Professor Martin James
Additional Information:
Using AI to create living clinical guidelines for stroke
Background Stroke is one of the leading causes of death and disability globally. The UK produces a National Clinical Guideline for Stroke, which is critical in improving clinical practice and standards, and ensuring people receive the best prevention and care. However, each update of these guidelines is expensive and time-consuming. Updates done manually currently happen periodically (e.g. with a 8 year gap), and limited resources mean that not all sections can be updated. There is therefore a need for new more efficient production methods, to ensure that clinical practice is informed by the latest research.
Novelty and Importance This PhD will investigate AI and computational methods for creating guidelines, and keeping them updated. These methods have the potential to translate to other clinical areas; and improve patient care by ensuring practice is based on the latest evidence.
Aims & Objectives This PhD aims to investigate the methods needed to produce a living national clinical guideline for stroke. The objectives are:
- to develop up a living, automatically populated database of the latest research evidence on stroke, which will inform the guidelines
- to investigate computational systems, which will 'push' notify guideline committees when new evidence is published
- to develop and evaluate Large Language Model (LLM) based approaches, which will extract key information from research articles
- to investigate LLM-based systems for generating draft clinical guideline recommendations, with accompanying rationales; to provide to guideline committees
References
I.J. Marshall, T. A. Trikalinos, F. Soboczenski, H. S. Yun, G. Kell, R. Marshall, and B. C. Wallace. In a pilot
study, automated real-time systematic review updates were feasible, accurate, and work-saving.
Journal of Clinical Epidemiology, 153:26–33, 2023.
Intercollegiate Stroke Working Party. National clinical guideline for stroke for the UK and Ireland. 2023.
We are now accepting applications for 1 October 2025
How to apply
Candidates should possess or be expected to achieve a 1st or upper 2nd class degree in a relevant subject including the biosciences, computer science, mathematics, statistics, data science, chemistry, physics, and be enthusiastic about combining their expertise with other disciplines in the field of healthcare.
Important information for International Students:
It is the responsibility of the student to apply for their Student Visa. Please note that the EPSRC DRIVE-Health studentship does not cover the visa application fees or the Immigration Health Surcharge (IHS) required for access to the National Health Service. The IHS is mandatory for anyone entering the UK on a Student Visa and is currently £776 per year for each year of study. Further detail can be found under the International Students tab below.
Next Steps
- Applications submitted by the closing date of Thursday 6 February 2025 will be considered by the CDT. We will contact shortlisted applicants with information about this part of the recruitment process.
- Candidates will be invited to attend an interview. Interviews are projected to take place in April 2025.
- Project selection will be through a panel interview chaired by either Professor Richard Dobson and Professor Vasa Curcin (CDT Directors) followed by informal discussion with prospective supervisors.
- If you have any questions related to the specific project you are applying for, please contact the main supervisor of the project directly.
For any other questions about the recruitment process, please email us at